Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
A hybrid neural-genetic approach for reconfigurable scheduling of networked control system
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Neural network based feedback scheduler for networked control system with flexible workload
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Flexible quality-of-control management in embedded systems using fuzzy feedback scheduling
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Fuzzy logic based feedback scheduler for embedded control systems
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Neural network based feedback scheduling of multitasking control systems
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Anytime iterative optimal control using fuzzy feedback scheduler
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Hi-index | 0.00 |
There is a strong trend in modern industrial systems to integrate computation, communication, and control theories into networked control systems (NCSs). This is anticipated to be the next wave in the information technology revolution. From a control perspective, the interdisciplinary relationship between computation, communication and control is illustrated through control loop timing analysis of NCSs. Critical issues in the emerging field of integrated computation, communication and control (ICCC) are discussed. Since it is difficult to analytically quantify the impacts of computation and communication constraints on the quality of control (QoC), a simulation-based approach is proposed. A numerical example of networked DC motor control is utilized in simulations, with different scheduling schemes and communication protocols employed. Results and analysis give valuable suggests for improving the control performance of NCSs which feature the integration of control with computation and communication.